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K-means
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#	Item
101	A Clustering under Approximation Stability MARIA-FLORINA BALCAN, Georgia Institute of Technology AVRIM BLUM, Carnegie Mellon University ANUPAM GUPTA, Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-03-19 12:47:03 Cluster analysis Operations research Data mining Geostatistics Hierarchical clustering K-means clustering K-medians clustering K-means++ Consensus clustering
102	LL: LISTENING AND LEARNING IN AN INTERACTIVE IMPROVISATION SYSTEM Nick Collins University of Sussex Add to Reading List Source URL: composerprogrammer.com Language: English - Date: 2014-05-01 12:43:17 Artificial intelligence Machine learning Hearing Digital signal processing Pattern recognition Music information retrieval Computer music Onset Cluster analysis Machine listening Feature K-means clustering
103	ISSN No: International Journal & Magazine of Engineering, Technology, Management and Research A Peer Reviewed Open Access International Journal Add to Reading List Source URL: www.ijmetmr.com Language: English - Date: 2015-02-01 07:05:15 Natural language processing Computational linguistics Internet search engines Document clustering Cluster analysis Hierarchical clustering Word-sense induction K-means clustering Search engine technology Relevance Information retrieval Stemming
104	Scalable K-Means++ Bahman Bahmani Stanford University K-means Clustering   Fundamental problem in data analysis and machine learning Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-03-09 01:29:53 K-means++ K-means clustering Cluster analysis K-medians clustering Data stream clustering
105	Clustering wavelets to speed-up data dissemination in structured P2P MANETs Mihai Lupu† Jianzhong Li‡ † Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2006-12-14 20:50:53 Search algorithms Data mining Dimension reduction Numerical analysis Natural language processing Cluster analysis Nearest neighbor search Wavelet Locality-sensitive hashing K-means clustering Information retrieval Discrete wavelet transform
106	CS264: Beyond Worst-Case Analysis Lecture #7: Perturbation Stability and Single-Link++∗ Tim Roughgarden† October 13, Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2014-11-05 02:46:42 Operations research Cluster analysis Data mining Geostatistics K-means clustering K-medians clustering Minimum spanning tree Dynamic programming K-nearest neighbors algorithm
107	SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering Han Zhao† , Pascal Poupart† , Yongfeng Zhang§ and Martin Lysy‡ † David R. Cheriton School of Computer Science, University of Waterloo, Canada D Add to Reading List Source URL: yongfeng.me Language: English - Date: 2015-03-02 08:17:50 Multivariate statistics Linear algebra Matrix theory Non-negative matrix factorization Cluster analysis Spectral clustering K-means clustering Document clustering Pattern recognition Expectationmaximization algorithm Determining the number of clusters in a data set Hierarchical clustering
108	Unsupervised Recognition and Clustering of Speech Overlaps in Spoken Conversations Shammur A. Chowdhury, Giuseppe Riccardi, Firoj Alam Department of Information Engineering and Computer Science, University of Trento, Ita Add to Reading List Source URL: www.sensei-conversation.eu Language: English - Date: 2014-10-28 17:53:14 Computational linguistics Data mining Cluster analysis Geostatistics K-means clustering Turn-taking Image segmentation Pattern recognition Speech recognition K-means++
109	43 Croatian Operational Research Review CRORR), 43–53 Multiple ellipse fitting by center-based clustering Add to Reading List Source URL: www.mathos.unios.hr Language: English - Date: 2015-06-12 01:48:22 Conic sections Curves Numerical analysis Regression analysis Analytic geometry Ellipse Hough transform Mahalanobis distance Curve fitting K-means clustering Fuzzy clustering Pi
110	The Complexity of the k-means Method∗ Tim Roughgarden1 and Joshua R. Wang2 1 Department of Computer Science, Stanford Univeresity, 474 Gates Building, 353 Serra Mall, Stanford, CA 94305, USA Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-06-27 17:36:50 NAND gate FO K-means++ K-means clustering Gadget Cluster analysis

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